基于ICA的锂电池SOH估计曲线确定方法研究OACSTPCD

Aiming at the problem of how to extract more effective characteristic parameters from the capacity increment(IC)curve for state of health(SOH)estimation of lithium batteries,a modified Lorentz voltage-capacity(RL-VC)based model is proposed.The capacity increment analysis(ICA)of lithium batteries is first performed using the traditional filtering method.Then the RL-VC model is used for comparison to obtain the corresponding feature parameters and calculate the capacity modeling error.The experimental data obtained based on the self-constructed experimental platform and the dynamic dataset NCM from the open-source dataset NASA are carried out separately.The errors of VC capacity modeling are within 0.23％and 0.16％,respectively.The feature parameters extracted from the IC curves fitted by the RL-VC model are highly linearly correlated with the capacity of Li-ion batteries,which lays the foundation for the subsequent SOH work.The IC analysis method based on the RL-VC model proposed in this paper not only has higher robustness in battery aging compared with the traditional filtering method,but also avoids subjectivity and uncertainty in feature parameter extraction.